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Daniele Linaro

Assistant Professor (Neurosciences not elsewhere classified)

Milan, Italy

Publications

  • A novel pyramidal cell type promotes sharp-wave synchronization in the hippocampus
  • Continuation analysis of a phase/quadrature electronic oscillator
  • Command-line cellular electrophysiology for conventional and real-time closed-loop experiments.
  • High bandwidth synaptic communication and frequency tracking in human neocortex.
  • System identification of spiking neuron networks: a model-driven approach.
  • Inferring network dynamics and neuron properties from population recordings
  • Piecewise-linear approximation of the Hindmarsh-Rose neuron model
  • Pyramidal Neurons Derived from Human Pluripotent Stem Cells Integrate Efficiently into Mouse Brain Circuits In Vivo
  • Accurate and Fast Simulation of Channel Noise in Conductance-Based Model Neurons by Diffusion Approximation
  • Codimension-Two Homoclinic Bifurcations Underlying Spike Adding in the Hindmarsh-Rose Burster
  • PWL approximation of the Hindmarsh-Rose neuron model in view of its circuit implementation
  • Experimental bifurcation diagram of a circuit-implemented neuron model
  • On the firing rate dependency of the phase response curve of rat Purkinje neurons in vitro.
  • Application of Envelope-Following Techniques to the Shooting Method
  • Simulation of Stochastic Electromagnetic Transients in EMTP: a Bug Turned Into a Feature
  • A method based on a genetic algorithm to find PWL approximations of multivariate nonlinear functions
  • Correlation Transfer by Layer 5 Cortical Neurons Under Recreated Synaptic Inputs In Vitro
  • Nonlinear behavioural model of charge pump PLLs
  • bal: A library for the brute-force analysis of dynamical systems
  • Dynamical response properties of neocortical neurons to conductance-driven time-varying inputs
  • Closed-Loop Methodologies for Cellular Electrophysiology
  • Synchronization properties in networks of Hindmarsh-Rose neurons and their PWL approximations with linear symmetric coupling
  • Human Pluripotent Stem-Cell-Derived Cortical Neurons Integrate Functionally into the Lesioned Adult Murine Visual Cortex in an Area-Specific Way
  • Real-time electrophysiology: Using closed-loop protocols to probe neuronal dynamics and beyond
  • PWL approximation of the Hindmarsh-Rose neuron model in view of its circuit implementation
  • Method based on a genetic algorithm to find PWL approximations of multivariate nonlinear functions
  • Synchronization properties in networks of Hindmarsh-Rose neurons and their PWL approximations with linear symmetric coupling
  • Harmonic analysis of oscillators through standard numerical continuation tools
  • The Hindmarsh-Rose neuron model: Bifurcation analysis and piecewise-linear approximations
  • Numerical Approach to Compute the Power Flow Solution of Hybrid Generation, Transmission and Distribution Systems
  • A Nonlinear Behavioral Ferrite-Core Inductance Model Able to Reproduce Thermal Transients in Switch-Mode Power Supplies
  • Partitioning-Based Unified Power Flow Algorithm for Mixed MTDC/AC Power Systems
  • Application of Envelope-Following Techniques to the Simulation of Hybrid Power Systems
  • Modular Multilevel Converter Impedance Computation Based on Periodic Small-Signal Analysis and Vector Fitting
  • Cell type-specific mechanisms of information transfer in data-driven biophysical models of hippocampal CA3 principal neurons
  • CONTINUATION ANALYSIS OF A PHASE/QUADRATURE ELECTRONIC OSCILLATOR
  • HARMONIC ANALYSIS OF OSCILLATORS THROUGH STANDARD NUMERICAL CONTINUATION TOOLS
  • Isomorphic Circuit Clustering for Fast and Accurate Electromagnetic Transient Simulations of MMCs
  • PanSuite: A free simulation environment for the analysis of hybrid electrical power systems
  • Impact of Passive-Components’ Models on the Stability Assessment of Inverter-Dominated Power Grids
  • Modular Multilevel Converter Modelling and Simulation for HVDC Systems
  • Modular Multilevel Converters: Key Features, Control Strategies and Main Challenges
  • Introduction
  • Conclusion
  • Validation of the Isomorphism-Based Approach
  • Modular Multilevel Converter Models and Simulation Approaches
  • On the Calculation of the Variance of Algebraic Variables in Power System Dynamic Models With Stochastic Processes
  • Inertia Estimation Through Covariance Matrix
  • Continuous Estimation of Power System Inertia Using Convolutional Neural Networks
  • Correlation Transfer by Layer 5 Cortical Neurons Under Recreated Synaptic InputsIn Vitro
  • Continuous estimation of power system inertia using convolutional neural networks
  • Dynamical response properties of neocortical neurons to conductance‐driven time‐varying inputs
  • Determination of modular multilevel converters admittances and their impacts on HVDC power system stability

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Co-workers & collaborators

Michele Giugliano

Neuroscientist - Antwerpen, Belgium

Michele Giugliano

David Hunt

David Hunt

Daniele Linaro's public data